Poster Presentation Presented at the 2019 Rising Stars in EECS Workshop

RBM Image Generation Using the D-Wave 2000Q

Jennifer Sleeman, Milton Halem, and John E Dorband

October 30, 2019

We describe a hybrid approach that combines a deep convolutional neural network autoencoder and a quantum Restricted Boltzmann Machine (RBM) for image generation using the D-Wave 2000Q. We compare the quantum learned distribution with the classical learned distribution, and quantify the quantum effects on latent representations.

BibTeX OWL Tweet Scholar

Type: Misc

Downloads: 524 downloads